{"list":"other","total":66,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"1801.03924","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","created":"2018-01-11","cited_by_count":11177},{"id":"2205.11487","title":"Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding","created":"2022-05-23","cited_by_count":6355},{"id":"2212.09748","title":"Scalable Diffusion Models with Transformers","created":"2022-12-19","cited_by_count":6054},{"id":"2210.02747","title":"Flow Matching for Generative Modeling","created":"2022-10-06","cited_by_count":5702},{"id":"2302.05543","title":"Adding Conditional Control to Text-to-Image Diffusion Models","created":"2023-02-10","cited_by_count":5503},{"id":"1611.07004","title":"Image-to-Image Translation with Conditional Adversarial Networks","created":"2016-11-21","cited_by_count":4527},{"id":"2403.03206","title":"Scaling Rectified Flow Transformers for High-Resolution Image Synthesis","created":"2024-03-05","cited_by_count":4181},{"id":"2209.03003","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow","created":"2022-09-07","cited_by_count":3700},{"id":"1802.02611","title":"Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation","created":"2018-02-07","cited_by_count":3223},{"id":"2211.09800","title":"InstructPix2Pix: Learning to Follow Image Editing Instructions","created":"2022-11-17","cited_by_count":2611},{"id":"2508.10104","title":"DINOv3","created":"2025-08-13","cited_by_count":1414},{"id":"2302.08453","title":"T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models","created":"2023-02-16","cited_by_count":1351},{"id":"2111.05826","title":"Palette: Image-to-Image Diffusion Models","created":"2021-11-10","cited_by_count":1300},{"id":"1711.11585","title":"High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs","created":"2017-11-30","cited_by_count":1179},{"id":"2107.06278","title":"Per-Pixel Classification is Not All You Need for Semantic Segmentation","created":"2021-07-13","cited_by_count":1152},{"id":"1912.01865","title":"StarGAN v2: Diverse Image Synthesis for Multiple Domains","created":"2019-12-04","cited_by_count":1098},{"id":"2506.15742","title":"FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space","created":"2025-06-17","cited_by_count":1006},{"id":"2104.00680","title":"LoFTR: Detector-Free Local Feature Matching with Transformers","created":"2021-04-01","cited_by_count":984},{"id":"2007.15651","title":"Contrastive Learning for Unpaired Image-to-Image Translation","created":"2020-07-30","cited_by_count":639},{"id":"2306.10012","title":"MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing","created":"2023-06-16","cited_by_count":624},{"id":"2306.13643","title":"LightGlue: Local Feature Matching at Light Speed","created":"2023-06-23","cited_by_count":590},{"id":"2305.16322","title":"Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models","created":"2023-05-25","cited_by_count":359},{"id":"2411.15098","title":"OminiControl: Minimal and Universal Control for Diffusion Transformer","created":"2024-11-22","cited_by_count":340},{"id":"1711.07846","title":"Functional Map of the World","created":"2017-11-21","cited_by_count":338},{"id":"2302.09778","title":"Composer: Creative and Controllable Image Synthesis with Composable Conditions","created":"2023-02-20","cited_by_count":304},{"id":"2205.07680","title":"BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models","created":"2022-05-16","cited_by_count":225},{"id":"2305.11147","title":"UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild","created":"2023-05-18","cited_by_count":200},{"id":"2303.06555","title":"One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale","created":"2023-03-12","cited_by_count":187},{"id":"1807.01232","title":"SpaceNet: A Remote Sensing Dataset and Challenge Series","created":"2018-07-03","cited_by_count":179},{"id":"2202.00667","title":"DKM: Dense Kernelized Feature Matching for Geometry Estimation","created":"2022-02-01","cited_by_count":177},{"id":"2312.03606","title":"DiffusionSat: A Generative Foundation Model for Satellite Imagery","created":"2023-12-06","cited_by_count":131},{"id":"1807.05713","title":"Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models","created":"2018-07-16","cited_by_count":119},{"id":"1906.07789","title":"SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion","created":"2019-06-18","cited_by_count":95},{"id":"2406.11519","title":"HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model","created":"2024-06-17","cited_by_count":73},{"id":"2410.16602","title":"Foundation Models for Remote Sensing and Earth Observation: A Survey","created":"2024-10-22","cited_by_count":70},{"id":"2403.19646","title":"Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis","created":"2024-03-28","cited_by_count":63},{"id":"2403.11614","title":"CRS-Diff: Controllable Remote Sensing Image Generation with Diffusion Model","created":"2024-03-18","cited_by_count":55},{"id":"2501.00895","title":"Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model","created":"2025-01-01","cited_by_count":48},{"id":"2004.06500","title":"SpaceNet 6: Multi-Sensor All Weather Mapping Dataset","created":"2020-04-14","cited_by_count":47},{"id":"2412.01169","title":"OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows","created":"2024-12-02","cited_by_count":46},{"id":"1807.01569","title":"The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion","created":"2018-07-04","cited_by_count":42},{"id":"2405.13570","title":"MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation","created":"2024-05-22","cited_by_count":42},{"id":"2406.17998","title":"Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model","created":"2024-06-26","cited_by_count":37},{"id":"2404.18895","title":"RSCaMa: Remote Sensing Image Change Captioning with State Space Model","created":"2024-04-29","cited_by_count":35},{"id":"2404.06637","title":"GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis","created":"2024-04-09","cited_by_count":32},{"id":"2308.16648","title":"Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps","created":"2023-08-31","cited_by_count":30},{"id":"2309.02455","title":"RSDiff: Remote Sensing Image Generation from Text Using Diffusion Model","created":"2023-09-03","cited_by_count":29},{"id":"2103.08259","title":"The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion","created":"2021-03-15","cited_by_count":27},{"id":"2404.08926","title":"Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives","created":"2024-04-13","cited_by_count":27},{"id":"2410.22629","title":"CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentation","created":"2024-10-30","cited_by_count":27},{"id":"2412.02573","title":"Remote Sensing SpatioTemporal Vision-Language Models: A Comprehensive Survey","created":"2024-12-03","cited_by_count":23},{"id":"2409.12470","title":"HSIGene: A Foundation Model For Hyperspectral Image Generation","created":"2024-09-19","cited_by_count":22},{"id":"2403.20142","title":"StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation","created":"2024-03-29","cited_by_count":18},{"id":"2504.03166","title":"RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation","created":"2025-04-04","cited_by_count":16},{"id":"2311.18435","title":"Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis","created":"2023-11-30","cited_by_count":9},{"id":"2411.05027","title":"Generative Artificial Intelligence Meets Synthetic Aperture Radar: A Survey","created":"2024-11-05","cited_by_count":9},{"id":"2502.01002","title":"Multi-Resolution SAR and Optical Remote Sensing Image Registration Methods: A Review, Datasets, and Future Perspectives","created":"2025-02-03","cited_by_count":9},{"id":"2404.00838","title":"3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matching","created":"2024-04-01","cited_by_count":8},{"id":"2410.22362","title":"MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation","created":"2024-10-26","cited_by_count":8},{"id":"2503.02242","title":"$\\mathbf{\\Phi}$-GAN: Physics-Inspired GAN for Generating SAR Images Under Limited Data","created":"2025-03-04","cited_by_count":4},{"id":"2504.08548","title":"COP-GEN-Beta: Unified Generative Modelling of COPernicus Imagery Thumbnails","created":"2025-04-11","cited_by_count":2},{"id":"2504.19432","title":"EarthMapper: Visual Autoregressive Models for Controllable Bidirectional Satellite-Map Translation","created":"2025-04-28","cited_by_count":2},{"id":"2604.22828","title":"MetaEarth3D: Unlocking World-scale 3D Generation with Spatially Scalable Generative Modeling","created":"2026-04-19","cited_by_count":1}],"next_cursor":null}